In the third module, I will go into more detail on one of the main recommendation approaches: collaborative filtering. Here, I will show how to create association rules in RStudio and then how to integrate the created R script in AzureML.
[01:12] Market Basket Analysis / Association rules with fruits
[09:05] Demo: Association Rules in RStudio
[18:05] Demo: Preparing R Script for AzureML
[24:02] Demo: Integrate R in AzureML
[32:58] Wrapping up
The accompanying step-by-step guide and R scripts can be found in the GitHub repository Recommenders in Azure.
This Channel9 video is part of a free online course on Microsoft Virtual Academy: Building Recommendation Systems in Microsoft Azure.